A new measuring method of slow component velocity for OKN signal

A control of the body posture and movement is maintained by the vestibular system, vision, and proprioceptors. Especially, vestibular system was a very important function that controls the eye movement through vestibuloocular reflex and control contraction of skeletal muscles through vestibulospinal reflex. However, postural disturbance caused by loss of vestibular function results in nausea, vomiting, vertigo and loss of craving for life. This dizziness may lead to abnormal reflex eye movements named nystagmus. The study and analysis of this nystagmus are needed to the precise diagnosis of various pathologies, and is best done with electronystagmography (ENG). The purpose of this study is to develop a computerized system for data processing and an algorithm for the automatic evaluation of the nystagmus slow-component velocity (SCV) induced by optokinetic (OKN) stimulation system. A new algorithm using recursive least square method (RLSM) to detect SCV of nystagmus and precision position control method are suggested in this paper. This method allows a faster and precise evaluation of the nystagmus, through artifact rejection techniques. The results are depicted in this paper.